The goal of this project is to perform a pre-study for taking a step toward implementing CT-scanners into medical transportation, and to answer the following questions. Can a miniaturized CT-scanner be created from lower end hardware without compromising image quality? Which image filters are optimal to obtain the clearest, least noisy images from the created CT-scanner? To answer these questions, a literature study is performed and the study shows that a highpass filter combined with flat field correction and a contrast enhancing filter is the most efficient way to increase the image detail in an X-ray image. The image filter is created in MATLAB and the CT-scanner software is created with Python. This project concludes that it is possible with the right hardware and software implementations, to create a miniature CT-scanner as images of both organic and inorganic objects are taken, filtered and their internal structure displayed.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:miun-34094 |
| Date | January 2018 |
| Creators | Muir, Cameron |
| Publisher | Mittuniversitetet, Avdelningen för elektronikkonstruktion |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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